Advanced Spatial Analysis and Visualisation

Course Introduction

Students generally study areas involving the application of computers and simulation methods to urban and regional problems and the built environment; research areas include: complexity (spatial network analysis; scaling and explanatory mechanisms); design and visualisation (GIS and datavis; CAD, multimedia and 3D models; virtual cities; virtual and augmented realities); geodemographics (neighbourhood profiling; health; crime; public service delivery); ICT in society (web'based cities; the spatial organisation of the internet; social media; the internet of things); simulation (agent'based models; spatial models; land use transportation models).

Course Additional Entry

A UK Master's degree, or its equivalent from a recognised international institution, in a relevant discipline such as geographic information systems, spatial analysis or a quantitative social science. Students are required to demonstrate evidence of an adequate level of the English language if their education has not been taught in English.

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